lmtp-package

lmtp: Non-Parametric Causal Effects of Feasible Interventions Based on Modified Treatment Policies

Non-parametric estimators for casual effects based on longitudinal modified treatment policies as described in Diaz, Williams, Hoffman, and Schenck tools:::Rd_expr_doi("10.1080/01621459.2021.1955691") , traditional point treatment, and traditional longitudinal effects. Continuous, binary, categorical treatments, and multivariate treatments are allowed as well are censored outcomes. The treatment mechanism is estimated via a density ratio classification procedure irrespective of treatment variable type. For both continuous and binary outcomes, additive treatment effects can be calculated and relative risks and odds ratios may be calculated for binary outcomes. package

See Also

Useful links:

• https://beyondtheate.com/
• https://github.com/nt-williams/lmtp
• Report bugs at https://github.com/nt-williams/lmtp/issues

Author(s)

Maintainer : Nicholas Williams ntwilliams.personal@gmail.com (ORCID) [copyright holder]

Authors:

• Iván Díaz Ivan.Diaz@nyulangone.org (ORCID) [copyright holder]